Areas of Expertise

CSCAR consultants work with UM affiliated researchers in all areas where data and computation play a role.

CSCAR staff have expertise in the following areas (feel free to contact us even if you are not sure whether your needs fit into one of these areas):

  • Formulation of research aims and development of plans for data collection and analysis
  • Statistical study design issues including power analysis and sample size assessment
  • Descriptive statistics and statistical graphics
  • Interpretation and presentation of statistical findings
  • Modeling of data, including regression techniques, and advanced modeling techniques for dependent and partially observed data
  • Methods for very large and high dimensional data sets
  • Issues related to missing data, biased sampling, and causal inference
  • Analysis of spatial and geographic data
  • Design and analysis of sample surveys
  • Prediction and forecasting
  • Implementation and optimization of algorithms for statistical computations
  • Text mining and statistical text analysis
  • Analysis of categorical data
  • Data mining, including clustering and dimension reduction
  • Strategies for management of large and complex data
  • Statistical analysis of images
  • Time series analysis
  • Biostatistical analyses

Software support

CSCAR consultants can advise clients on the use of a number of statistical and technical software packages. Supported software includes SPSS, SAS, Stata, R, Python, Matlab, LISREL/AMOS, HLM, NQuery/Pass, IVEWare, JMP, and MPlus.

Grant proposals

CSCAR consultants have extensive experience with research proposals, and can advise clients on how to best present the components of a proposal relating to data collection and analysis.

Manuscript preparation

CSCAR consultants have extensive experience with research manuscripts, and can advise clients on effective presentation of quantitative and empirical findings for various audiences.